ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.00736
  4. Cited By
Benchmark Analysis of Representative Deep Neural Network Architectures

Benchmark Analysis of Representative Deep Neural Network Architectures

1 October 2018
Simone Bianco
Rémi Cadène
Luigi Celona
Paolo Napoletano
    BDL
ArXivPDFHTML

Papers citing "Benchmark Analysis of Representative Deep Neural Network Architectures"

50 / 124 papers shown
Title
Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
Jonathan Peters
Philippe Talatchian
47
0
0
28 Mar 2025
Convex Distillation: Efficient Compression of Deep Networks via Convex
  Optimization
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization
Prateek Varshney
Mert Pilanci
43
0
0
09 Oct 2024
Accelerating Malware Classification: A Vision Transformer Solution
Accelerating Malware Classification: A Vision Transformer Solution
Shrey Bavishi
Shrey Modi
19
0
0
28 Sep 2024
Benchmarking Edge AI Platforms for High-Performance ML Inference
Benchmarking Edge AI Platforms for High-Performance ML Inference
Rakshith Jayanth
Neelesh Gupta
Viktor Prasanna
BDL
36
1
0
23 Sep 2024
PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via
  Probabilistic Approximation
PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation
Wenlun Zhang
Shimpei Ando
Yung-Chin Chen
Satomi Miyagi
Shinya Takamaeda-Yamazaki
Kentaro Yoshioka
17
2
0
29 Aug 2024
The impact of model size on catastrophic forgetting in Online Continual
  Learning
The impact of model size on catastrophic forgetting in Online Continual Learning
Eunhae Lee
CLL
50
0
0
28 Jun 2024
BOLD: Boolean Logic Deep Learning
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen
Cristian Ocampo
Aymen Askri
Louis Leconte
Ba-Hien Tran
AI4CE
42
0
0
25 May 2024
Off-the-Shelf Neural Network Architectures for Forex Time Series
  Prediction come at a Cost
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
Theodoros Zafeiriou
Dimitris Kalles
AI4TS
29
0
0
17 May 2024
SENet: Visual Detection of Online Social Engineering Attack Campaigns
SENet: Visual Detection of Online Social Engineering Attack Campaigns
Irfan Ozen
Karthika Subramani
Phani Vadrevu
R. Perdisci
44
2
0
10 Jan 2024
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA
  Cats and Dogs Dataset
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset
Galib Muhammad Shahriar Himel
Md. Masudul Islam
18
1
0
09 Jan 2024
Measurement-driven neural-network training for integrated magnetic
  tunnel junction arrays
Measurement-driven neural-network training for integrated magnetic tunnel junction arrays
W. A. Borders
A. Madhavan
M. Daniels
Vasileia Georgiou
Martin Lueker-Boden
Tiffany S. Santos
Patrick M. Braganca
M. D. Stiles
Jabez J. McClelland
Brian D. Hoskins
29
3
0
11 Dec 2023
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided
  medical imaging segmentation and classification
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification
José María Rodríguez Corral
Javier Civit-Masot
Francisco Luna-Perejón
Ignacio Díaz-Cano
Arturo Morgado-Estévez
M. Domínguez-Morales
MedIm
20
17
0
20 Nov 2023
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart
  Glasses with TinyissimoYOLO
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO
Julian Moosmann
Pietro Bonazzi
Yawei Li
Sizhen Bian
Philipp Mayer
Luca Benini
Michele Magno
43
12
0
02 Nov 2023
MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model
  Effectiveness and Efficiency
MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency
Xiaoyun Liu
Divya Saxena
Jiannong Cao
Yuqing Zhao
Penghui Ruan
44
0
0
23 Oct 2023
A Car Model Identification System for Streamlining the Automobile Sales
  Process
A Car Model Identification System for Streamlining the Automobile Sales Process
Said Togru
Marco Moldovan
37
0
0
19 Oct 2023
Pengembangan Model untuk Mendeteksi Kerusakan pada Terumbu Karang dengan
  Klasifikasi Citra
Pengembangan Model untuk Mendeteksi Kerusakan pada Terumbu Karang dengan Klasifikasi Citra
Fadhil Muhammad
Alif Bintang Elfandra
Iqbal Pahlevi Amin
Alfan Farizki Wicaksono
9
1
0
08 Aug 2023
Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark
  Analysis
Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis
Asish Bera
M. Nasipuri
O. Krejcar
D. Bhattacharjee
26
24
0
01 Aug 2023
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic
  Permafrost Features
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features
Wenwen Li
Chia-Yu Hsu
Sizhe Wang
C. Witharana
A. Liljedahl
13
8
0
08 Jun 2023
A Reinforcement Learning Approach for Robust Supervisory Control of UAVs
  Under Disturbances
A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances
Ibrahim Ahmed
Marcos Quiñones-Grueiro
Gautam Biswas
24
0
0
21 May 2023
Efficient Neural Network based Classification and Outlier Detection for
  Image Moderation using Compressed Sensing and Group Testing
Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing
Sabyasachi Ghosh
Sanyam Saxena
Ajit V. Rajwade
30
0
0
12 May 2023
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural
  Networks
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks
Seah Kim
Hasan Genç
Vadim Nikiforov
Krste Asanović
B. Nikolić
Y. Shao
27
20
0
10 May 2023
Guided Transfer Learning
Guided Transfer Learning
Danilo Nikolić
Davor Andrić
V. Nikolić
24
2
0
26 Mar 2023
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic
  Segmentation
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
S. Landgraf
Kira Wursthorn
Markus Hillemann
Markus Ulrich
UQCV
22
10
0
17 Mar 2023
A Triplet-loss Dilated Residual Network for High-Resolution
  Representation Learning in Image Retrieval
A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval
Saeideh Yousefzadeh
H. Pourreza
H. Mahyar
3DH
24
1
0
15 Mar 2023
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning
  meets Knowledge Distillation
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation
Roy Miles
M. K. Yucel
Bruno Manganelli
Albert Saà-Garriga
VOS
43
24
0
14 Mar 2023
Adaptive Parameterization of Deep Learning Models for Federated Learning
Adaptive Parameterization of Deep Learning Models for Federated Learning
Morten From Elvebakken
Alexandros Iosifidis
Lukas Esterle
FedML
31
4
0
06 Feb 2023
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs
  Sparser Models
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models
Florian A. Hölzl
Daniel Rueckert
Georgios Kaissis
39
4
0
30 Jan 2023
Deep-Learning-Based Computer Vision Approach For The Segmentation Of
  Ball Deliveries And Tracking In Cricket
Deep-Learning-Based Computer Vision Approach For The Segmentation Of Ball Deliveries And Tracking In Cricket
K. Abbas
M. Saeed
M. I. Khan
K. Ahmed
Hua Wang
27
2
0
22 Nov 2022
Understanding the Energy Consumption of HPC Scale Artificial
  Intelligence
Understanding the Energy Consumption of HPC Scale Artificial Intelligence
Danilo Carastan dos Santos
21
6
0
14 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic
  Environments Perception: A Review
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar
Jinlong Li
Hongkai Yu
R. Cheu
Yisheng Lv
Ruimin Ke
43
21
0
09 Nov 2022
Exploration of Convolutional Neural Network Architectures for Large
  Region Map Automation
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation
Rostyslav-Mykola Tsenov
Christopher J. Henry
J. Storie
C. Storie
Brent Murray
Mikhail Sokolov
27
2
0
07 Nov 2022
OGInfra: Geolocating Oil & Gas Infrastructure using Remote Sensing based
  Active Fire Data
OGInfra: Geolocating Oil & Gas Infrastructure using Remote Sensing based Active Fire Data
Samyak Prajapati
Amrit Raj
Yash Chaudhari
Akhilesh Nandwal
Japman Singh Monga
AI4CE
9
1
0
30 Oct 2022
See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring
See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring
Megan Heath
A. Imran
David St-Onge
25
1
0
30 Oct 2022
End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks
End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks
Tamás Grósz
Mittul Singh
Sudarsana Reddy Kadiri
H. Kathania
M. Kurimo
28
0
0
28 Oct 2022
An Overview of the Data-Loader Landscape: Comparative Performance
  Analysis
An Overview of the Data-Loader Landscape: Comparative Performance Analysis
Iason Ofeidis
Diego Kiedanski
Leandros Tassiulas
26
7
0
27 Sep 2022
Efficient Perception, Planning, and Control Algorithm for Vision-Based
  Automated Vehicles
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles
Der-Hau Lee
27
5
0
15 Sep 2022
Personalized Federated Learning with Communication Compression
Personalized Federated Learning with Communication Compression
El Houcine Bergou
Konstantin Burlachenko
Aritra Dutta
Peter Richtárik
FedML
80
9
0
12 Sep 2022
RGB-X Classification for Electronics Sorting
RGB-X Classification for Electronics Sorting
Abhimanyu Fnu
T. Zodage
Umesh Thillaivasan
Xinyue Lai
Rahul Chakwate
...
E. Oti
Ming Zhao
Ralph Boirum
Howie Choset
Matthew Travers
27
1
0
08 Sep 2022
"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral
  Classification using Deep Learning Method
"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method
Kaifeng Cheng
Helmand Shayan
Kai Krycki
Markus Lange-Hegermann
21
1
0
29 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
53
3
0
22 Aug 2022
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural
  Network
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network
Zhongzhan Huang
Senwei Liang
Mingfu Liang
Wei He
Haizhao Yang
Liang Lin
37
9
0
16 Jul 2022
DASS: Differentiable Architecture Search for Sparse neural networks
DASS: Differentiable Architecture Search for Sparse neural networks
H. Mousavi
Mohammad Loni
Mina Alibeigi
Masoud Daneshtalab
38
11
0
14 Jul 2022
Finite Expression Method for Solving High-Dimensional Partial
  Differential Equations
Finite Expression Method for Solving High-Dimensional Partial Differential Equations
Senwei Liang
Haizhao Yang
34
18
0
21 Jun 2022
Optimal Clipping and Magnitude-aware Differentiation for Improved
  Quantization-aware Training
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
Charbel Sakr
Steve Dai
Rangharajan Venkatesan
B. Zimmer
W. Dally
Brucek Khailany
MQ
27
41
0
13 Jun 2022
Single-Shot Optical Neural Network
Single-Shot Optical Neural Network
Liane Bernstein
Alexander Sludds
C. Panuski
Sivan Trajtenberg‐Mills
R. Hamerly
Dirk Englund
BDL
36
44
0
18 May 2022
Mobile-URSONet: an Embeddable Neural Network for Onboard Spacecraft Pose
  Estimation
Mobile-URSONet: an Embeddable Neural Network for Onboard Spacecraft Pose Estimation
Julien Posso
Guy Bois
Yvon Savaria
40
11
0
04 May 2022
Leveraging convergence behavior to balance conflicting tasks in
  multi-task learning
Leveraging convergence behavior to balance conflicting tasks in multi-task learning
A. T. M. Nakamura
D. Wolf
V. Grassi
13
7
0
14 Apr 2022
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on
  Edge Devices
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices
K. Bhardwaj
James Diffenderfer
B. Kailkhura
Maya Gokhale
AAML
OOD
49
3
0
21 Mar 2022
Improving Image-recognition Edge Caches with a Generative Adversarial
  Network
Improving Image-recognition Edge Caches with a Generative Adversarial Network
Guilherme B. Souza
R. G. Pacheco
R. S. Couto
21
0
0
11 Feb 2022
DistrEdge: Speeding up Convolutional Neural Network Inference on
  Distributed Edge Devices
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices
Xueyu Hou
Yongjie Guan
Tao Han
Ning Zhang
24
41
0
03 Feb 2022
123
Next